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DTSTART;VALUE=DATE:20251119
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SUMMARY:Carrefour Pathologie 2025
DESCRIPTION:The congress took place in a beautifully rehabilitated venue\, designed to meet expectations and widely appreciated by participants. The 2024 edition was a great success\, bringing together 1\,486 participants (a record!) and receiving excellent feedback from both pathologists and exhibitors. \nCARREFOUR 2025 will once again bring together professionals in Pathological Anatomy and Cytology for a unique moment of learning\, exchange\, and collaboration. The event will be held in person\, with all sessions available afterwards as podcasts for registered participants via the Carrefour media library. \nRegister NowKey Features of CARREFOUR 2025\nScientific Programme designed by Professor Séverine Valmary-Dégano and the scientific committee. \nHistoseminars on: \n\nColorectal tumors\nThyroid pathology\nOvarian pathology\n\nConferences by world-renowned French and international pathologists covering: \n\nFrance Genomics 2025 program\nEthics and artificial intelligence\nPulmonary cytology and mediastinal pathology\n\nSymposia Topics \n\nTheranostic markers\nEcological transition and quality\nBilio-pancreatic cytology\nFeto-placental pathology\nOrgan transplant rejection\n\nInteractive Session \n\nFocused on the management of prostate biopsies — one of the most anticipated sessions of the event\n\nAIP Day (Friday) \n\nTheme: Pulmonary Tumor and Pseudotumoral Pathology\n\nMedico-Technical Sessions \n\nThe Macroscopic Technician: Crossed Views and Feedback\nThe Cyber-ACP Attack: Action / Reaction / Anticipation
URL:https://www.pathologynews.com/event/carrefour-pathologie-2025/
LOCATION:CNIT Forest in Paris la Défense\, 2 Le PARV de la Défense\, Paris\, 92800\, France
CATEGORIES:In Person Event
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SUMMARY:TIA Centre Seminar Series - Pathology knowledge-guided AI models in computational pathology
DESCRIPTION:The Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions. \nThis seminar features Professor Jin Tae Kwak from Korea University\, Seoul\, South Korea. \nAbstract\nComputational pathology is undergoing a profound transformation driven large-scale artificial intelligence (AI)\, particularly the seamless integration of multiple data modalities through multimodal large language models (MLLMs). In this talk\, I will present our group’s recent efforts in developing knowledge-guided computational pathology tools that utilize vision-language models for various diagnostic tasks. I will discuss how vision-language models\, combined with expert knowledge\, can aid in analyzing complex tissue patterns\, enhancing interpretability\, and achieving accurate and reliable diagnostic performance. \nRegister NowBio\nJin Tae Kwak received his Ph.D. in Computer Science from University of Illinois at Urbana-Champaign\, USA in 2012. He earned his Masters of Science degree in Electrical and Computer Engineering from Purdue University\, USA in 2007 and his Bachelor of Engineering degree in Electrical Engineering from Korea University\, Korea in 2005. In 2012\, He joined Center for Interventional Oncology\, Clinical Center\, National Institutes of Health\, USA as a Research Fellow. He served as a tenure-track faculty member in the department of Computer Science and Engineering at Sejong University from March 2016 to August 2020. He joined School of Electrical Engineering at Korea University in September 2020. His research interests include multimodal medical imaging\, digital and computational pathology\, and large-scale and efficient AI systems for medicine
URL:https://www.pathologynews.com/event/tia-centre-seminar-series-pathology-knowledge-guided-ai-models-in-computational-pathology/
LOCATION:Online
CATEGORIES:Live Online Webinar
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